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Spatio-temporal Trend Analysis of Rainfall using R Software and ArcGIS : A Case Study of an Agro-climatic Zone-1 of Gujarat, India / by K. Naveena, Ramiz Tasiya, Shilpesh Rana.

Springer eBooks EBA - Earth & Environmental Science Collection 2023 Available online

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Format:
Book
Author/Creator:
Naveena, K.
Contributor:
Tasiya, Ramiz.
Rana, Shilpesh.
Series:
SpringerBriefs in Climate Studies, 2213-7858
Language:
English
Subjects (All):
Climatology.
Earth sciences.
Geography.
Environmental engineering.
Biotechnology.
Bioremediation.
Technical education.
Climate Sciences.
Earth and Environmental Sciences.
Environmental Engineering/Biotechnology.
Engineering and Technology Education.
Local Subjects:
Climate Sciences.
Earth and Environmental Sciences.
Environmental Engineering/Biotechnology.
Engineering and Technology Education.
Geography.
Physical Description:
1 online resource (55 pages)
Edition:
1st ed. 2023.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Summary:
This book aims to provide an advanced R software approach that can carry out rainfall trend analysis using Mann-Kendall and Sen’s slope estimator tests. The research study follows a systematic approach while utilizing R software as it can greatly facilitate the analysis of rainfall trends. About 30 stations located in the study area and 41 to 50 years’ time series were selected for the purpose of analysis. The data for the research was collected from the State Water Data Centre (SWDC) in Gujarat, Indian Meteorological Department (IMD) in Pune, DAAC (NASA), and ESRI. Cluster analysis has been performed to analyze the variability of the mean rainfall. The stations have been divided into 2 clusters with 17 and 13 stations in each cluster which significantly differ from each other. This book is aimed at researchers, scientists and government organizations working in the field of climate change. .
Contents:
Chapter 1. Introduction
Chapter 2. Literature survey
Chapter 3. Study area and data collection
Chapter 4. Methodology
Chapter 5. Computations
Chapter 6. Results and discussion
Chapter 7. Conclusion. .
Other Format:
Print version: Naveena, K. Spatio-Temporal Trend Analysis of Rainfall Using R Software and ArcGIS
ISBN:
9783031482595
303148259X
OCLC:
1409699676

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